The rice farming sector plays an important role in the Indonesian economy, considering that rice is the main staple food. According to IRRI, rice farmers experience crop losses of up to 37% each year due to pests and diseases. This study aims to classify
Febiana Angela tanesab +2 more
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Seed Treatment Against Tungro (Rtv)
This article 'Seed Treatment Against Tungro (Rtv)' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping
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Purification and serology of rice tungro spherical and rice tungro bacilliform viruses.
Toshihiro OMURA +3 more
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Seasonal Incidence of Tungro on Selected Varieties
This article 'Seasonal Incidence of Tungro on Selected Varieties' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice
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Rice farmers' background, perceptions of pests, and pest management actions : a case study in the Philippines [PDF]
Savary, Serge
core +1 more source
Available cloned genes and markers for genetic improvement of biotic stress resistance in rice. [PDF]
Simon EV +10 more
europepmc +1 more source
Early Detection of Plant Disease on Rice (Oryza Sativa) using Convolutional Neural Network (CNN)
Plants provide and possess many elements that help humans and the whole ecosystem strive and function properly. Plant disease affects food production, the economy, and the health and safety of plants and humans who consume the plants.
Kristine Joyce P Ortiz +3 more
doaj
A hybrid vision transformer and ResNet18 based model for biotic rice leaf disease detection. [PDF]
Sennan S, Somula R, Cho Y, Sennan S.
europepmc +1 more source
LiSA-MobileNetV2: an extremely lightweight deep learning model with Swish activation and attention mechanism for accurate rice disease classification. [PDF]
Xu Y, Li D, Li C, Yuan Z, Dai Z.
europepmc +1 more source
RiceDetect-Net: a lightweight real-time detection framework for rice diseases. [PDF]
Yuan X +6 more
europepmc +1 more source

